1 / 13

Friso Penninga TU Delft Sander Oude Elberink ITC Enschede

3D Topography. Friso Penninga TU Delft Sander Oude Elberink ITC Enschede. 3D Topography. 3D data modelling. 3D data acquisition. 3D DBMS Analysis. 3D Topography.

selene
Télécharger la présentation

Friso Penninga TU Delft Sander Oude Elberink ITC Enschede

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 3D Topography Friso Penninga TU Delft Sander Oude Elberink ITC Enschede

  2. 3D Topography 3D data modelling 3D data acquisition 3D DBMS Analysis

  3. 3D Topography Objective: develop a data structure capable of handling large data volumes and offers support for querying, analysis and validation. • Model characteristics: • full 3D decomposition of space, • apply a tetrahedron structure • based on Poincaré simplicial homology as mathematical foundation 3D data modelling

  4. 3D Topography • Results: • A new innovative approach to 3D data modelling: • validation and analysis through topology • reduces data storage (stored in one single-column table!) • no explicit updates of topology and less dimensional simplexes • full control over orientation • based on a solid theoretical foundation (100 years old math) 3D data modelling

  5. 3D Topography Objective: develop an automated 3D data acquisition method, by integrating laser altimetry data with 2D GIS data. 3D data acquisition

  6. 3D Topography • 3D acquisition algorithm: • Segmentation based filtering of small objects in laser data. • Assigning laser data to map data in a sophisticated map and laser growing & fusion algorithm. • Integrating object knowledge to produce horizontal lakes and smooth roads. • Additional 3D boundaries have automatically been reconstructed to allow the reconstruction of 3D objects. 3D data acquisition

  7. P3 P1 P1 P2 P2 P2 P3 3D Topography 3D data acquisition

  8. 3D Topography Data fusion problem 1 road 12 polygons 1000 m2 5 correct laser points >150 false laser points 3D data acquisition

  9. 3D Topography Data fusion solution: Combined map & laser growing 3D data acquisition

  10. 3D Topography BeeldbankVenW.nl 3D data acquisition

  11. 3D Topography Results Quality check 3D data acquisition

  12. 3D Topography Quality check <0.2 m green 0.2 – 0.5 m yellow >0.5 m red 3D data acquisition

  13. 3D Topography www.gdmc.nl/3Dtopo Contact: Peter van Oosterom

More Related